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Democratising #ML for Apps, Using Powerful User Interfaces

Democratising #ML for Apps, Using Powerful User Interfaces | Language Tech Market News | Scoop.it

The human element is essential, as machine learning is "inherently imperfect, and will in some contexts make incorrect or inappropriate predictions," Joe Hellerstein, CSO of Trifacta, adds. "Even in the context of predictive interaction, although the machine learning only makes suggestions to users, it can mislead users to draw incorrect conclusions about their data and in some cases lead to poor human decisions. This can undermine trust." The key, he says, "it's very important for the machine learning to be wedded to powerful and transparent user interfaces that help users understand what is being suggested or predicted, why it was chosen, and what the alternatives decisions may be."

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France to Introduce a New Standardised Computer Keyboard

Dans la lignée de la Belgique, de la Suisse et du Canada et sur l’impulsion du ministère de la Culture et de la Communication français, AFNOR initie un projet ouvert à tous pour élaborer un nouveau modèle de clavier, proposant notamment des majuscules accentuées.
 
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Impact of IoT: Smart Documentation, Not Just Sensors

Impact of IoT: Smart Documentation, Not Just Sensors | Language Tech Market News | Scoop.it

IBM consultant: “There’s no question the industrial side of IoT is growing rapidly. At first everyone thought it was about the sensors – but we’re getting to the point where it’s the insights and interactions with people that matter most."
Fruits of this convergence can be seen in moves towards “smart documentation” with huge numbers of technical manuals and procedure guides being ingested by AI engines in order to be able to provide real-time assistance.

LT-Innovate's insight:

The whole range of apps including chatbots, smart.voice search, text mining, AR, deep semantics, will play a role in eventual IoT platforms. 

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